What are the different types of effect sizes in statistics?
An example of an AI chatbot conversation about different types of effect sizes in statistics.
What are the different types of effect sizes in statistics?
Effect sizes are quantitative measures of the magnitude of a phenomenon. Common types include Cohen's d, Pearson's r, and odds ratios.
Can you explain Cohen's d in more detail?
Cohen's d measures the difference between two means divided by the pooled standard deviation. It's often used to indicate the standardized difference.
What about Pearson's r?
Pearson's r measures the strength and direction of the linear relationship between two variables, ranging from -1 to 1.
How do I choose which effect size to use?
Choosing an effect size depends on your research question, the type of data you have, and the analysis you plan to conduct.
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